• Title/Summary/Keyword: computational solutions

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MULTI-LEVEL ADAPTIVE SOLUTIONS TO INITIAL-VALUE PROBLEMS

  • Shamardan, A.B.;Essa, Y.M. Abo
    • Journal of applied mathematics & informatics
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    • v.7 no.1
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    • pp.215-222
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    • 2000
  • A multigrid algorithm is developed for solving the one- dimensional initial boundary value problem. The numerical solutions of linear and nonlinear Burgers; equation for various initial conditions are studied. The stability conditions are derived by Von -Neumann analysis . Numerical results are presented.

Closed form solutions for element equilibrium and flexibility matrices of eight node rectangular plate bending element using integrated force method

  • Dhananjaya, H.R.;Pandey, P.C.;Nagabhushanam, J.;Othamon, Ismail
    • Structural Engineering and Mechanics
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    • v.40 no.1
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    • pp.121-148
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    • 2011
  • Closed form solutions for equilibrium and flexibility matrices of the Mindlin-Reissner theory based eight-node rectangular plate bending element (MRP8) using Integrated Force Method (IFM) are presented in this paper. Though these closed form solutions of equilibrium and flexibility matrices are applicable to plate bending problems with square/rectangular boundaries, they reduce the computational time significantly and give more exact solutions. Presented closed form solutions are validated by solving large number of standard square/rectangular plate bending benchmark problems for deflections and moments and the results are compared with those of similar displacement-based eight-node quadrilateral plate bending elements available in the literature. The results are also compared with the exact solutions.

Bringing Computational Thinking into Science Education

  • Park, Young-Shin;Green, James
    • Journal of the Korean earth science society
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    • v.40 no.4
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    • pp.340-352
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    • 2019
  • The purpose of science education is scientific literacy, which is extended in its meaning in the $21^{st}$ century. Students must be equipped with the skills necessary to solve problems from the community beyond obtaining the knowledge from curiosity, which is called 'computational thinking'. In this paper, the authors tried to define computational thinking in science education from the view of scientific literacy in the $21^{st}$ century; (1) computational thinking is an explicit skill shown in the two steps of abstracting the problems and automating solutions, (2) computational thinking consists of concrete components and practices which are observable and measurable, (3) computational thinking is a catalyst for STEAM (Science, Technology, Engineering, Arts, and Mathematics) education, and (4) computational thinking is a cognitive process to be learned. More implication about the necessity of including computational thinking and its emphasis in implementing in science teaching and learning for the envisioned scientific literacy is added.